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Cited by 947

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Multicompartment Micelles from ABC Miktoarm Stars in Water

Li, Zhibo, Kesselman, Ellina, Talmon, Yeshayahu, Hillmyer, Marc A., Lodge, Timothy P.·2004·Science

Abstract

By combining three mutually immiscible polymeric components in a mixed-arm star block terpolymer architecture, we have observed the formation of a previously unknown class of multicompartment micelles in dilute aqueous solution. Connection of water-soluble poly(ethylene oxide) and two hydrophobic but immiscible components (a polymeric hydrocarbon and a perfluorinated polyether) at a common junction leads to molecular frustration when dispersed in aqueous solution. The incompatible hydrophobic blocks form cores that are protected from the water by the poly(ethylene oxide) blocks, but both are forced to make contact with the poly(ethylene oxide) by virtue of the chain architecture. The structures that emerge depend on the relative lengths of the blocks and can be tuned from discrete multicompartment micelles to extended wormlike structures with segmented cores.

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Crossref · 10.1126/science.1103350

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Metadata

Authors
Li, Z., Kesselman, E., Talmon, Y., Hillmyer, M. A., & Lodge, T. P.
Venue
Science
Published
2004-10
Volume
306
Issue
5693
Pages
98-101
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2142234529
Cited by
947
References
2
FWCI
21.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multicompartment Micelles from ABC Miktoarm Stars in Water. https://app.cochat.ai/papers/10.1126/science.1103350
The paper
Li, Z., Kesselman, E., Talmon, Y., Hillmyer, M. A., & Lodge, T. P. (2004). Multicompartment Micelles from ABC Miktoarm Stars in Water. Science. https://doi.org/10.1126/science.1103350

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.